QA Automation Engineer – Capital Markets

IPolarity

Senior QA Automation Engineer testing applications in Capital Markets and FinTech. Developing automation frameworks and ensuring software quality through various testing methodologies.

Posted 7/18/2026part-timeNew York City • New Jersey, New York • 🇺🇸 United StatesSeniorLead💰 $48 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in functional and automation testing within Capital Markets, utilizing Java or Python for automation frameworks, and validating data accuracy through SQL and ETL pipelines. Proficient in Agile methodologies and effective communication with global stakeholders to ensure quality assurance and testing objectives are met.

Highest-signal resume keywords

Automation Framework DevelopmentCapital Markets TestingSQL Data ValidationAgile Methodology ExperienceGen-AI Tool Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation TestingJava ProgrammingPython ProgrammingSQLSelenium Web DriverCucumberETL PipelinesTesting FrameworksIndex MethodologiesBenchmark Indices

Soft Skills

Effective CommunicationProblem SolvingCollaboration

Tools & Technologies

AWSCarinaKarateLinux/UNIXJenkins

Industry Keywords

Capital MarketsFinTechMarket DataAsset ManagementPortfolio Investment

Tech Stack

Tools & technologies

AWSCloudETLJavaJenkinsLinuxNoSQLPythonSeleniumSQLUnix

About the role

Key responsibilities & impact

Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance.
Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms
Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing.
Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity.
Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity.
Work with market data, pricing, reference data, index calculation, or similar financial applications.
Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred
Develop and document application test plans and test cases based on software requirements and technical specifications
Evaluate requirements and define testing objectives and approaches while working in Agile methodology
Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes
Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support
Understand business model and customer needs and apply/modify QA techniques accordingly
Provide effective communication regarding issues, testing status and potential risks
Effectively interact with global customers, business users and IT staff
Manage, maintain QA environments along with build and deployments
Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs.

Requirements

What you’ll need

Bachelor’s degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience
8+ years of experience in complete software testing activities.
Experience with Capital Market and FinTech is ideal
Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling
Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference.
Hands on experience working with testing frameworks, Selenium web driver, Cucumber
Hands on experience with Object oriented language like Java or Python
Hands on experience with test frameworks like Carina, Karate would be plus
Knowledge of cloud technology (AWS preferred)
Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred
Experience in supporting test strategy activities, particularly in integration of multiple applications and systems
Experience in evaluating testing technologies , conducting test strategy design and test script code reviews
Demonstrated skill to proactively resolves issues and escalate appropriately
Experience in Gen-AI tools preferred.
Excellent communication skills are essential, with strong verbal and writing proficiencies
Excellent understanding of release testing, sign-off and deployment methods.

Benefits

Comp & perks

Flexible work from home options